CRM and sales decision

100lead.com

A competent developer can build a usable Google‑Maps lead extractor with scraping, parsing, and CSV export (using existing open projects for email verification), but reproducing the paid product's polish, reliability at scale, and any proprietary data‑quality guarantees would be costly—so building a narrow self‑hosted replacement is realistic, but matching the full commercial offering is not.

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Built by Nicolae Maties, who ships 9 products in this index

You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off69 h to build

$50/mo6 h/mo upkeep

No published price to break even against.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Query Google Maps for a keyword+location, crawl/listing results, extract contact fields (email, phone, social links), optionally verify emails, and export leads to CSV or provide via a simple API.

What it still won’t have

  • Polished UX, analytics dashboard, and non‑trivial user management
  • Scale and reliability of a paid product (rate‑limit handling, distributed scraping)
  • Possible higher‑accuracy or proprietary data‑cleaning and verification workflows
  • Guarantees about data accuracy and customer support

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

100lead.com does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a self-hosted Google Maps lead scraper using Node.js + Puppeteer (or Playwright), Postgres, and a minimal React frontend. Core features in scope: (1) keyword+location job submission UI and API, (2) headless scraper that enumerates Maps results with configurable proxy support and rate limiting, (3) parsers extracting name, category, address, phone, website, Google Maps URL and social links, (4) email discovery + optional SMTP/3rd‑party verification integration, (5) persistent storage in Postgres and CSV export endpoint, (6) basic job status/progress and error handling, with unit tests around parsing and API endpoints. Out of scope: multi‑tenant billing, extensive UX polish, distributed crawling cluster, and automated scaling. Require robust error handling, retry/backoff for network failures, proxy failure handling, and tests for scraper parsers and API behavior.
How we checked2 sources · 3/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • 2 cited sources+1
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score60

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded